The company said it has grown fivefold since its Series B round late last year and now works with more than 150 enterprise customers. Its customer base includes DHL, Kuehne + Nagel, Naturgy, Repsol and Uber.
HappyRobot initially developed its platform for the logistics sector, where the company focused on automating complex operational processes. It is now expanding into insurance, energy and utilities, telecommunications and airlines, while continuing to grow across the wider supply chain market.
The platform uses AI agents to carry out work within existing enterprise systems. These agents can manage activities involving phone calls, emails, documents and disconnected operational processes. HappyRobot said customers can typically deploy their first agents within four to twelve weeks, after which further development sprints can improve existing agents or introduce additional ones.
HappyRobot’s AI agents are designed to handle repetitive, multi-step customer and operational work rather than simply answer questions. In financial services, they can manage collection calls, account enquiries, document gathering and KYC checks, while in insurance they can collect claims information, check policy details, chase missing documents and handle billing or renewal enquiries, with complex cases escalated to human teams.
The company said its customers are already seeing measurable operational results. One customer is automating 28,000 hours of work each month, while agents used in customer care are achieving customer satisfaction scores of 9.4 out of 10 and autonomous resolution rates of more than 70%, it said.
HappyRobot also reported that operational teams have increased their capacity by ten times at some customers, while sales teams have generated five times more revenue through previously underused channels.
The company has grown its physical presence from two offices to eight during the past year, with locations across North America, Europe, Latin America and Australia.
HappyRobot co-founder and CEO Pablo Palafox said, “Getting agents to do work is the starting point, not the destination. Our thesis is that enterprise superintelligence, where an organization’s collective intelligence compounds as agents and people learn from one another, requires far more than task-performing agents. It requires a platform and a deployed motion capable of operationalising that platform inside a specific business.”
Prysm Capital partner Kerry Wei said, “Many industries have a surprising share of their costs locked up in coordination, the calls, emails, and handoffs that keep work flowing. While getting an agent to complete a discrete task is increasingly simple, deploying them across multi-step enterprise workflows has proven far more difficult.”
“HappyRobot has built the missing link – the governance, interfaces, and context layer – that enables agents to work seamlessly across complex workflows, driving real ROI by allowing companies to capture value without asking employees to adopt anything new,” she said.
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